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Cancer Community Ecology.
Kotler, Burt P; Brown, Joel S.
Afiliação
  • Kotler BP; Mitrani Department of Desert Ecology, Blaustein Institutes for Desert Research, 108400Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.
  • Brown JS; Department of Integrated Mathematical Oncology and Program in Cancer Biology and Evolution, 25301Moffitt Cancer Center, Tampa, FL, USA.
Cancer Control ; 27(1): 1073274820951776, 2020.
Article em En | MEDLINE | ID: mdl-32942911
Here we advocate Cancer Community Ecology as a valuable focus of study in Cancer Biology. We hypothesize that the heterogeneity and characteristics of cancer cells within tumors should vary systematically in space and time and that cancer cells form local ecological communities within tumors. These communities possess limited numbers of species determined by local conditions, with each species in a community possessing predictable traits that enable them to cope with their particular environment and coexist with each other. We start with a discussion of concepts and assumptions that ecologists use to study closely related species. We then discuss the competitive exclusion principle as a means for knowing when two species should not coexist, and as an opening towards understanding how they can. We present the five major categories of mechanisms of coexistence that operate in nature and suggest that the same mechanisms apply towards understanding the diversification and coexistence of cancer cell species. They are: Food-Safety Tradeoffs, Diet Choice, Habitat Selection, Variance Partitioning, and Competition-Colonization Tradeoffs. For each mechanism, we discuss how it works in nature, how it might work in cancers, and its implications for therapy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Modelos Biológicos / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Modelos Biológicos / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article